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Spatial representation of temporal complementarity between three variable energy sources using correlation

Fausto A Canales1, Jakub Jurasz2,3, Alexander Kies4

  • 1Department of Civil and Environmental, Universidad de la Costa, Barranquilla, Atlántico, Colombia.

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|April 18, 2020
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Summary
This summary is machine-generated.

This study introduces a new index to measure the energetic complementarity of renewable energy sources like wind, solar, and hydro power. This tool aids in optimizing the integration of variable energy into power grids.

Keywords:
Energetic complementarityGeographic information systemsRenewable energyVariable renewables

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Area of Science:

  • Renewable energy systems analysis
  • Mathematical modeling for energy resources
  • Sustainable energy integration

Background:

  • Variable renewable energy sources (VRES) face integration challenges due to weather dependency.
  • Optimizing VRES requires decision support tools for efficient planning and operation.
  • Energetic complementarity between diverse sources is key to mitigating variability.

Purpose of the Study:

  • To present a novel method for quantifying and spatially representing temporal energetic complementarity.
  • To develop a mathematical index for assessing the combined output of multiple VRES.
  • To aid in the planning and operational dispatch of renewable energy systems.

Main Methods:

  • Developed an index combining correlation coefficients and compromise programming.
  • Quantified complementarity between wind speed, solar radiation, and surface runoff.
  • Applied the method on a monthly scale for continental Colombia in 2015.

Main Results:

  • Successfully quantified and spatially represented energetic complementarity between three VRES.
  • The proposed index effectively assesses the combined potential of variable renewable sources.
  • Demonstrated the index's sensitivity to the chosen time scale (monthly).

Conclusions:

  • The developed index provides a valuable tool for assessing VRES complementarity.
  • This method supports better planning and operational strategies for renewable energy integration.
  • Spatial and temporal complementarity analysis is crucial for maximizing renewable energy utilization.